Abstract:
An apparatus and method for controlling a navigator are disclosed herein. The apparatus includes a natural voice command acquisition unit, an information acquisition unit, a speech language understanding unit, a related information extraction unit, and a dialog management control unit. The natural voice command acquisition unit obtains a natural voice command from a user. The information acquisition unit obtains vehicle data including information about the operation of the navigator and information about the state of the vehicle. The speech language understanding unit converts the natural voice command into a user intention that can be understood by a computer. The related information extraction unit extracts related information that corresponds to the user intention. The dialog management control unit generates a response to the natural voice command based on the related information, the user intention and a dialog history, and controls the navigator in accordance with the conversation response.
Abstract:
A method for problem inference based on multi-modal generative artificial intelligence includes receiving question information including an image and text, generating formal languages by parsing the image and text of the question information, respectively, based on a pre-constructed problem solving template, generating text-based intermediate inference information for the question information by inputting the generated formal language to a formal language inference unit, generating image-based inference information by inputting the text-based intermediate inference information, the text included in the question information (hereinafter referred to as “text question information”), and the image included in the question information (hereinafter referred to as “image question information”) to a multi-modal image generation model, and generating text-based inference information by inputting the text-based intermediate inference information, the image-based inference information, and the text question information to a multi-modal text generation model.
Abstract:
A method for establishing paraphrasing data for a machine translation system includes selecting a paraphrasing target sentence through application of an object language model to a translated sentence that is obtained by machine-translating a source language sentence, extracting paraphrasing candidates that can be paraphrased with the paraphrasing target sentence from a source language corpus DB, performing machine translation with respect to the paraphrasing candidates, selecting a final paraphrasing candidate by applying the object language model to the result of the machine translation with respect to the paraphrasing candidates, and confirming the paraphrasing target sentence and the final paraphrasing candidate as paraphrasing lexical patterns using a bilingual corpus and storing the paraphrasing lexical patterns in a paraphrasing DB. According to the present invention, the consistent paraphrasing data can be established since the paraphrasing data is automatically established.
Abstract:
An apparatus and method for controlling a navigator are disclosed herein. The apparatus includes a natural voice command acquisition unit, an information acquisition unit, a speech language understanding unit, a related information extraction unit, and a dialogue management control unit. The natural voice command acquisition unit obtains a natural voice command from a user. The information acquisition unit obtains vehicle data including information about the operation of the navigator and information about the state of the vehicle. The speech language understanding unit converts the natural voice command into a user intention that can be understood by a computer. The related information extraction unit extracts related information that corresponds to the user intention. The dialogue management control unit generates a response to the natural voice command based on the related information, the user intention and a dialogue history, and controls the navigator in accordance with the conversation response.
Abstract:
Provided are a device and method for artificial intelligence (AI) reasoning based on a language model. The method for AI reasoning based on a language model includes generating a question core summary by inputting a natural language question to a language model, decomposing the natural language question into sub-questions using a reasoning model on the basis of the question core summary and the natural language question, obtaining an answer to the natural language question by solving the sub-questions and synthesizing solutions of the sub-questions.
Abstract:
Disclosed herein are a translation interfacing apparatus and method using vision tracking. The translation interfacing apparatus includes a vision tracking unit, a comparison unit, a sentence detection unit, a sentence translation unit, and a sentence output unit. The vision tracking unit tracks a user's eyes based on one or more images input via the camera of a portable terminal, and extracts time information about a period for which the user's eyes have been fixed and location information about a location on which the user's eyes are focused. The comparison unit compares the time information with a preset eye fixation period. The sentence detection unit detects a sentence corresponding to the location information if the time information is equal to or longer than the eye fixation period. The sentence translation unit translates the detected sentence. The sentence output unit outputs a translated sentence onto the screen of the portable terminal